Abstract / Description of output
Motion analysis and visualization are crucial in sport science for sport training and performance evaluation. While primitive computational methods have been proposed for simple analysis such as postures and movements, few can evaluate high-level quality of sport players such as their skill levels and strategies. We propose a visualization tool to help visualizing boxers’ motions and assess their skill levels. Our system automatically builds a graph-based representation upon motion capture data and reduces the dimension of the graph onto a 3D space so that it can be easily visualized and understood. In particular, our system allows easy understanding of the boxer’s boxing behaviours, preferred actions, potential strength and weakness. We demonstrate the effectiveness of our system on different boxers’ motions. Our system not only serves as a tool of visualization, it also provides intuitive motion analysis that can be further used beyond sports science.
Original language | English |
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Title of host publication | MIG '16 Proceedings of the 9th International Conference on Motion in Games |
Publisher | ACM |
Pages | 145-153 |
Number of pages | 9 |
ISBN (Electronic) | 978-1-4503-4592-7 |
DOIs | |
Publication status | Published - 10 Oct 2016 |
Event | 9th International Conference on Motion in Games - Burlingame, United States Duration: 10 Oct 2016 → 12 Oct 2016 https://mig2016.inria.fr/ |
Conference
Conference | 9th International Conference on Motion in Games |
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Abbreviated title | MiG'16 |
Country/Territory | United States |
City | Burlingame |
Period | 10/10/16 → 12/10/16 |
Internet address |